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Nokia User Context Detection Location-based Services 
France 
39245220

25.06.2024

The team you'll be part of

· The premise is within 10-minute walk from Massy-Palaiseau RER B/C station

Alternatively, you can get there by car either via A6a/A10 (exit D188 towards Palaiseau/Massy/Villebon-sur-Yvette)

Education Recommendations

Master 2 in Machine Learning

Last year of Engineering Schools

What you will learn and contribute to

The technical context of the invention is related to the challenging problem of Localizing/positioning users within complex environments is a challenging problem, especially within the context of network infrastructure systems like 5G and 6G. Achieving accurate characterization of users' position in such complex settings can be difficult due to the intricate nature of user trajectories and the environments themselves. However, accurate localization and environment identification of users is crucial for a variety of applications, including emergency services (e.g., E112/E911 calls).
However, the positioning methods require knowledge of external information in addition to radio and/or sensor signals as indication whether the user is in NLOS/LOS or Indoor/Outdoor. This external information permits them to deliver the position or location of a target user with high accuracy (horizontally or vertically). As main external information, we list the user environment information or environment, in other words, Indoor/Outdoor context. For this reason, detecting quickly the indoor/outdoor context is a crucial issue for the positioning technique, especially if the accuracy of position measurement is vital and mandatory, depending on the service that requires it.
Therefore, method of quickly detecting the user context is required for accurate user positioning/localizing.
- Get familiar with and deeply analyze the approach proposed to achieve a quick and accurate user context detection
- Achieve theoretical and practical evaluation of the proposed solution by providing a deep analysis and a comparison to previous works
- Propose a workflow

What we offer

Meaningful Co-op Term: During your co-op term, you will have the opportunity to test out the latest technologies and work on innovative projects that could leave a global impact. You get to use skills learned in the classroom and apply it to real work situations while gaining professional hands-on experience.

Nokia has received the following recognitions for its commitment to inclusion & equality:

  • One of the World’s Most Ethical Companies by Ethisphere
  • Gender-Equality Index by Bloomberg
  • Workplace Pride Global Benchmark

Join us and be part of a company where you will feel included and empowered to succeed.

HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN

• Develops skills to carry out basic, repetitive, manual tasks that are described in detail and conducted under close supervision.• Has no discretion to vary from established procedures.


Your skills and experience

Autonomy and motivation.

Bash/Shell script, Python, C/C++ deep learning tools (tensorflow, keras, Pytorch…)

Solid Mathematical background.

Knowledge in 5G/6G shall be a plus.

Good communication skills (written and verbal) in both English and French

Nokia has received the following recognitions for its commitment to inclusion & equality:

  • One of the World’s Most Ethical Companies by Ethisphere
  • Gender-Equality Index by Bloomberg
  • Workplace Pride Global Benchmark

Join us and be part of a company where you will feel included and empowered to succeed.
Job Info
  • Job CategoryCorporate Services
  • Posting Date01/09/2024, 03:02 PM
  • Locations12 rue Jean Bart, Massy, 91300, FR
  • Apply Before07/31/2024, 03:04 PM
  • Degree LevelMaster's Degree
  • Job ScheduleFull time
  • Role TypeIndividual contributor
  • Job Identification
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    12 rue Jean Bart, Massy, 91300, FR

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